Thanh-Toan Do

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 471 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it; #21,164 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 44 citations into it
• Multimodal Learning — 23 citations into it
• Model Architectures — 8 citations into it
• Question Answering & Reading Comprehension — 7 citations into it
• Signal Processing — 5 citations into it

Whom Thanh-Toan Do trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Zisserman
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Thanh-Toan Do overall

1. Binh X. Nguyen
2. Tushar Nagarajan
3. Zengyi Qin
4. Mennatullah Siam
5. Kristen Grauman
6. Tuong Khanh Long Do
7. Priyanka Mandikal
8. Christoph Feichtenhofer
9. Kuan Fang
10. Jianping Gou

Papers from Thanh-Toan Do's perspective

Ordered by how strongly the researchers Thanh-Toan Do trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Bayesian Semantic Instance Segmentation in Open Set World (2018) — 35 citations
• AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection (2017) — 366 citations
• Compact Trilinear Interaction for Visual Question Answering (2019) — 67 citations